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Glacier Mass Balance

2017· other· en· W4252485736 on OpenAlexaff
J. Graham Cogley

Bibliographic record

VenueInternational Encyclopedia of Geography · 2017
Typeother
Languageen
FieldEarth and Planetary Sciences
TopicCryospheric studies and observations
Canadian institutionsTrent University
Fundersnot available
KeywordsGlacierGeodetic datumGlacier mass balanceElevation (ballistics)SnowGeologyPhysical geographyClimate changeGeodesyEnvironmental scienceAtmospheric sciencesClimatologyGeomorphologyGeographyOceanographyPhysics

Abstract

fetched live from OpenAlex

The mass balance of a glacier is the change in its mass, over a stated span of time, due to accumulation (mass gain, mainly by snowfall) and ablation (mass loss, mainly by melting and calving). It is measured in situ by the so‐called glaciological method, or by geodetic methods relying on terrestrial, airborne, satellite surveys of elevation change, or gravimetrically by monitoring changes in the gravity field. Geodetic measurements require either modeling or in situ measurement of density in order to convert elevation change to mass change. In the gravimetric method the mass change is measured directly but with coarse spatial resolution. Nearly all glaciers have been losing mass since the culmination of the Little Ice Age and all projections by glacier–climate modeling agree that the losses will continue throughout the twenty‐first century.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.386
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0170.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.223
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2017
Admission routes1
Has abstractyes

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